This is a non-official PyTorch implementation of MobileNeXt model from this paper Rethinking Bottleneck Structure for Efficient Mobile Network Design
The following is the architecture details of MobileNeXt
| No. | t | Out-Dim | s | b | Inp-Dim | Operater |
|---|---|---|---|---|---|---|
| 1 | - | 112 × 112 × 32 | 2 | 1 | 224 × 224 × 3 | conv2d 3x3 |
| 2 | 2 | 56 × 56 × 96 | 2 | 1 | 112 × 112 × 32 | sandglass block |
| 3 | 6 | 56 × 56 × 144 | 1 | 1 | 56 × 56 × 96 | sandglass block |
| 4 | 6 | 28 × 28 × 192 | 2 | 3 | 56 × 56 × 144 | sandglass block |
| 5 | 6 | 14 × 14 × 288 | 2 | 3 | 28 × 28 × 192 | sandglass block |
| 6 | 6 | 14 × 14 × 384 | 1 | 4 | 14 × 14 × 288 | sandglass block |
| 7 | 6 | 7 × 7 × 576 | 2 | 4 | 14 × 14 × 384 | sandglass block |
| 8 | 6 | 7 × 7 × 960 | 1 | 2 | 7 × 7 × 576 | sandglass block |
| 9 | 6 | 7 × 7 × 1280 | 1 | 1 | 7 × 7 × 960 | sandglass block |
| 10 | - | 1 × 1 × 1280 | - | 1 | 7 × 7 × 1280 | avgpool 7x7 |
| 11 | - | k | - | 1 | 1 × 1 × 1280 | conv2d 1x1 |
